ij xixjδij , where xi is the frequency of the ith haplotype and δij is the fraction of nucleotides at which haplotypes i and j differ. It shouldn’t come to any surprise to you that just as there is interest in partitioning diversity within and among populations when we’re dealing with simple allelic variation, i.e., Wright’s F -statistics, there is interest in partitioning diversity within and ...

ij xixjδij , where xi is the frequency of the ith haplotype and δij is the fraction of nucleotides at which haplotypes i and j differ. It shouldn’t come to any surprise to you that just as there is interest in partitioning diversity within and among populations when we’re dealing with simple allelic variation, i.e., Wright’s F -statistics, there is interest in partitioning diversity within and ...

Recently developed phylogeographic analyses that incorporate genealogical relationships of alleles offer the exciting prospect of disentangling historical from contemporary events. However, the relative advantages and shortfalls of this approach remain to be studied. We compared the nested cladistic method to the more traditional analysis of variance approach in a study of intraspecific genetic...

Molecular ecological studies are often characterised by an extremely high number of samples and by an equal high number of molecular analyses to whom the samples have been subjected. The analysis of molecular variance (AMOVA) is a powerful statistical method for the description of factors influencing the structure of populations. AMOVA has been applied to different biological systems, trying to...

Determining the genetic structure of populations is becoming an increasingly important aspect of genetic studies. One of the most frequently used methods is the calculation of F-statistics using an Analysis of Molecular Variance (AMOVA). However, this has the drawback that the population hierarchy has to be known a priori. Therefore, the population structure is often based on the results of a c...

Analysis of molecular variance (AMOVA) is a widely used tool for quantifying the contribution of various levels of population structure to patterns of genetic variation. Implementations of AMOVA use permutation tests to evaluate null hypotheses of no population structure within groups and between groups. With few populations per group, between-group structure might be impossible to detect becau...